Date	Topics	Readings
Jan 21: Lecture 1	Snow day: no class.
Jan 23: Lecture 2	Introduction and Overview	Slides Chapter 1 Project Guidelines
Jan 28: Lecture 3	Data	Slides Chapter 2: Sections 2.1, 2.2.
Jan 30: Lecture 4	Data preprocessing; Dimensionality reduction	Slides Section 2.3
Feb 4: Lecture 5	Similarity and Distance measures Assignment 1	Slides Section 2.4
Feb 6: Lecture 6	Classification (1)	Slides
Feb 11: Lecture 7	Classification (2): Decision Trees	Slides Sections 4.1, 4.2, 4.3
Feb 13: Lecture 8	Snow day 2. No class.
Feb 18: Lecture 9	Classification (3): more on Decision Trees [HW1 due]
Feb 20: Lecture 10	Classification (4): Model Evaluation Measures Assignment 2	Sections 4.4, 4.5, 5.7
Feb 25: Lecture 11	Classification (5): Instance-based methods; Probability review; Naive Bayes classifier	Slides Sections 5.2, 5.3
Feb 27: Lecture 12	Classification (6): Neural networks: perceptron.	Slides
Mar 4: Lecture 13	Classification (7): Neural networks: backpropagation.	Section 5.4. The derivation of the backpropagation algorithm is in the slides.
Mar 6: Lecture 14	Review for Midterm [HW2 due]
Mar 11: Spring Break	NO CLASS
Mar 13: Spring Break	NO CLASS
Mar 18: Lecture 15	Midterm. The exam is closed book.
Mar 20: Lecture 16	Support Vector Machines; Bias and Variance	Slides
Mar 25: Lecture 17	Ensemble methods; Clustering [Project Proposal due]
Mar 27: Lecture 18	Clustering (1)	Slides on clustering
Apr 1: Lecture 19	Clustering (2)
Apr 3: Lecture 20	Clustering (3)
Apr 8: Lecture 21	Clustering (4)
Apr 10: Lecture 22	Anomaly Detection	Slides on anomaly detection
Apr 15: Lecture 23	Association Rule Mining HW3: Problem 12 page 562; Problems 16 and 17 page 563, Problem 23 page 565.	Slides on association rule mining
Apr 17: Lecture 24	Association Rule Mining
Apr 22: Lecture 25	Review HW3 DUE!
Apr 24: Lecture 26	Association Rule Mining
Apr 29: Lecture 27	Final Exam. The exam is closed book.
May 1: Lecture 28	Project Presentations: Chris Beckley and Ben Gelman; Bradley Bynum; Bryan Kim and Eugene Raether; Nardos Megersa; James Stegner; Alejandra Vigil and Benjamin Water; Ruda Yi
May 6: noon-1:15pm	Project Presentations: David Dolyniuk and Chris Sharp; Said Masoud and Kyle Shaw; John McCaulley; Nhut Nguyen and Tan Pham; Michael Ryan; Kumal Sarkhel; Jon Smithers
May 10: noon-2pm	Project Presentations: Mohamed Alfehaid; Michael Bowen; Robert Brown and Maggie Lagos; Wesley Chappell and Paul Xu; Logan Ford and Michael Kelly; Brian Hall; Saurab Joshi and Vien Huynh; Anisha Kolla and Jonathon Grady; Jean Michel Rouly and Joshua Wells; Mackenzie Sweeney; Jooyong Shin; Farheen Syed and Dylan Pulliam [Project Report due.]